Project description:Analysis of bone metastases tissue from castration-resistant prostate cancer patients at the RNA level in relation to expression of constitutively active androgen receptor variants termed AR-V7 and AR-V567es.
Project description:Peripheral blood from 62 men with castration resistant prostate cancer was collected between 8/2006 and 6/2008. A panel of 168 inflammation-related and prostate cancer related genes was assessed with quantitative PCR to assess biomarkers predictive of survival. qPCR profiling of whole blood from patients with castration-resistant prostate cancer.
Project description:Prostate cancer is one of the major cancers that seriously affect men's health. It has high morbidity and high mortality, but there is still no ideal molecular markers for the diagnosis and prognosis of prostate cancer. Castration-resistant prostate cancer is associated with wide variations in survival. To determine whether differentially expressed circRNAs in plasma exosomes can be used as a novel biomarker for castration-resistant prostate cancer prognosis, we performed high-throughput circRNA sequencing on 15 pairs of plasma exosomes from 30 metastatic castration-resistant prostate cancer patients, with or without early progression, to screen differentially expressed circRNAs.
Project description:The integration of diverse ‘omic’ datasets will increase our understanding of the key signaling pathways that drive disease. Here, we used clinical tissue cohorts corresponding to lethal metastatic castration resistant prostate cancer (CRPC) obtained at rapid autopsy to integrate mutational, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed transcriptional master regulators, functionally mutated genes, and differentially ‘activated’ kinases in CRPC tissues to synthesize a robust signaling network consisting of pathways with known and novel gene interactions. For 6 individual CRPC patients for which we had transcriptomic and phosphoproteomic data we observed distinct pathway activation states for each patient profile. In one patient, the activated pathways were strikingly similar to a prostate cancer cell line, 22Rv1, providing us with a good pre-clinical model to test targeted, combination therapies. In all, synthesis of multiple ‘omic’ datasets revealed a plethora of pathway information suitable for targeted therapies in lethal prostate cancer.
Project description:To identify changes at multiple omic levels between hormone naive and castration resistant prostate cancer. Using orthograft murine tumour models of human cell lines injected into the prostate of CD-1 Nude mice grown under castration resistant (castrate) or hormone naive (non-castrate) conditions.